Daily Fantasy Sports (DFS) algorithms use data and statistical models to project player performance, set salaries, and generate optimal lineups. They analyze variables like recent stats, matchups, injuries, usage rates, and game environments to estimate fantasy points. Platforms also use algorithms to predict player ownership, maintain contest fairness, and detect unusual behavior. For players, understanding these systems helps identify value plays, leverage low-owned options, and build stronger lineups. For example, a running back facing a weak defense with increased workload may receive a projection boost, influencing both salary and ownership—shaping strategic decisions in DFS contests.
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